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Paper Citation Record · LEDGER

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2606.02173.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.02173 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T12:59:19.911875Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T07:32:09.956510Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T11:49:50.949864Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7833c6f-610e-422f-95d7-9d377c2e32d7 · outbound

This paper cites Domain-incremental learni ng for audio classification,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Domain-incremental learni ng for audio classification,

Reference 1

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:9e23405caed18810e298a264f837fd874adc697a06e9ec2d9b6a0c14290172d4

Observation 9853047b-eb67-46be-826e-2148fe759da5 · outbound

This paper cites Unsuper- vised adversarial domain adaptation for acoustic scene cla ssification,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Unsuper- vised adversarial domain adaptation for acoustic scene cla ssification,

Reference 2

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:e0479c88c70b383ea8496f02a65d3a9b5c13580dd7b7d2dd324de1af1d2c705b

Observation 9be72a46-de32-4053-affa-e45e889001b6 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Overcoming catastrophic forgetting in neural networks,

Reference 3

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c63df89c-9ca1-4679-baac-de36e6e3ab3e · outbound

This paper cites icarl: Incremental classifier and representation learning,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task icarl: Incremental classifier and representation learning,

Reference 4

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:e729172e899d26c225458b3fe0fe480ba1236335324cdf774bd822d1f94be4c8

Observation 5341de36-5521-48b5-9ba6-96c30bdc3b8a · outbound

This paper cites Episodic memory in lifelong language learning,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Episodic memory in lifelong language learning,

Reference 5

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:f7bab1125626106c364a78001591a6e578ea099fc9aff2421bc9b5fc1eb7546c

Observation da562bb7-980d-4eb3-be07-32cbb30d47b4 · outbound

This paper cites A closer look at class-incre mental learning for multi-label audio classification,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task A closer look at class-incre mental learning for multi-label audio classification,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:e97243ac7e49aa24bc3b825253354149fbab3aac152326f6249c6c1e4a0dc214

Observation d881e356-f936-49d8-8c12-cb298f24e92c · outbound

This paper cites Continual learning for on-device environment al sound classification,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Continual learning for on-device environment al sound classification,

Reference 7

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unresolved
no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:a9aa5f61631daed74c4901e654a9ab015b24fe79024acbb9e6a13c4109134783

Observation 1afa8edf-4421-4cce-91e3-366c7bde85c2 · outbound

This paper cites Learning without forgetting,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Learning without forgetting,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:25490d92654a14de74628560631df280ad67d8eec5de6b025520384b71d4a47b

Observation 7b1e59d3-4c2c-4ddf-aed5-e8650357ee02 · outbound

This paper cites Con- tinual learning of new sound classes using generative repla y,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Con- tinual learning of new sound classes using generative repla y,

Reference 9

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:a886dcb9cf8b15872834a47387e742ee390cbfa25d0e967663c047c8737611e8

Observation 9bb0e352-7316-4af3-bf63-3b737e447206 · outbound

This paper cites Addressing imbalanced domain-incremental learning through dual-balance collab orative experts,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Addressing imbalanced domain-incremental learning through dual-balance collab orative experts,

Reference 10

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:02b7566ec5970409e3cb245dca38a3bf746ee2e01a0dfe9092b7313a2ec49f37

Observation cd56cd2e-5911-4077-9306-460d0316f39d · outbound

This paper cites Online domain-incrementa l learning for acoustic scene classification across locations,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Online domain-incrementa l learning for acoustic scene classification across locations,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:438e8e77499868f215410b45de9672e5909522d3da2f67893deab71dfdf7875b

Observation 8b73ce5c-4ff4-4261-bd08-cfc9b56d20ac · outbound

This paper cites Cla ss-incremental learning for sound event localization and detection,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Cla ss-incremental learning for sound event localization and detection,

Reference 12

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:8c9f8f019e7a1d1e17457e29926d64b5fec9e2a0487a75d49a8b388dfc7babc7

Observation ebce62d9-699e-451f-ad11-6fa7e3c6780f · outbound

This paper cites Three scenarios for con tinual learning,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Three scenarios for con tinual learning,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:3a9c0d96dbd843e0f74607bcbfc594c245a798015711d2157ddb44dd85df71ac

Observation 118b46df-cf7d-4cba-b01f-514a80e181ea · outbound

This paper cites Acoustic scene classificat ion across mul- tiple devices through incremental learning of device-spec ific domains,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Acoustic scene classificat ion across mul- tiple devices through incremental learning of device-spec ific domains,

Reference 14

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no resolver link, observed 2026-06-28T12:59:19.911875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:9207e46157536bfdf13866e8b33e3e476b798913854752e22a479a57bbaf5570

Observation ce1e0c5f-17bb-450e-b547-ebe358f5ebb3 · outbound

This paper cites Audio set: An ontology and h uman- labeled dataset for audio events,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task Audio set: An ontology and h uman- labeled dataset for audio events,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:9ece8c20a4eac93d158c84fc95d9217dd404c281965581ba295ef37de05f0707

Observation 88c9bed2-c2dc-4a3b-8024-fc9e396c20c1 · outbound

This paper cites PANNs: Large-scale pretrained audio neural networks for a udio pattern recognition,.

Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task PANNs: Large-scale pretrained audio neural networks for a udio pattern recognition,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T12:59:19.911875Z digest=sha256:b8daa69f2720c31567a14961c8aed57e820349344063925ebd3bed38353eee4b

Pith citing papers

Observation b51cac7c-00de-4cad-af23-2d87841db6a8 · inbound

Domain-incremental audio classification using domain-specific experts and prototype classifier cites this paper.

Domain-incremental audio classification using domain-specific experts and prototype classifier Domain-Agnostic Incremental Learning for Sound Classification. A DCASE 2026 Challenge task

Reference 5

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verified exact
local_arxiv, observed 2026-07-04T11:49:50.951043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T07:32:09.956510Z digest=sha256:7044259a13a02c3d8ed6e71ab861cb2ed540612e9dc636fedc2a465cbfde8bd8